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Estimate significance of importance metrics for a Random Forest model by permuting the response variable. Produces null distribution of importance metrics for each predictor variable and p-value of observed. Provides summary and visualization functions for 'randomForest' results.

copied from cf-post-staging / r-rfpermute
Type Size Name Uploaded Downloads Labels
conda 196.7 kB | noarch/r-rfpermute-2.1.81-r40h6115d3f_1.tar.bz2  5 years and 3 months ago 3153 main
conda 197.0 kB | noarch/r-rfpermute-2.1.81-r36h6115d3f_1.tar.bz2  5 years and 3 months ago 3197 main
conda 195.8 kB | noarch/r-rfpermute-2.1.81-r35h6115d3f_0.tar.bz2  5 years and 5 months ago 3311 main cf202003
conda 196.8 kB | noarch/r-rfpermute-2.1.81-r36h6115d3f_0.tar.bz2  5 years and 5 months ago 3362 main cf202003

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